Were hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans.

What will you do:

- ETL/Data Quality Automation
- Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions).
- Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified.
- Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion.
- API & Frontend Test Automation
- Build end-to-end, integration, contract, and regression suites for REST/GraphQL services.
- Create UI automation for critical user journeys; stabilize flaky tests with valuable wait/retry design.
- Performance/Load Testing
- Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines.
- Automate performance tests in CI and publish trend dashboards.
- CI/CD & Quality Gates
- Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning.
- Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs.
- Test Strategy & Documentation
- Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices.
- Champion shift-left, code reviews for testability, and “quality as code.”
- Monitoring & Incident Support
- Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests.

Must-have skills:

- ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness,



and SQL proficiency.
- Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders).
- API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing.
- UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites.
- Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics.
- CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies.
- Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code.
- Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs.
- Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry.

Nice-to-have

- Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow).
- IaC (Terraform), secrets management, feature flags.
- Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage.
- Experience with data privacy and compliance test considerations.
- Experience building synthetic data generators and golden datasets.

Tools you might use here:

- Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect
- API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact
- Performance: k6, JMeter, Locust
- CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform
- Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL
- Observability: Prometheus, Grafana, Datadog/New Relic

Qualifications:

- Bachelor’s in CS/IT or equivalent experience.
- 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing.
- Proven experience integrating tests into CI/CD and scaling suites for speed and reliability.
- Excellent communication; comfortable driving quality across engineering, data, and product teams.

📌 Qa Automation Testing Engineer (ETL/ Python/ Database) (Punjab)
🏢 Harmony Data Integration Technologies
📍 Punjab